Data Analysis

Our retinal image database is comprised of over 3 million retinal images of diverse populations with various degrees of diabetic retinopathy. Because of the diversity, it helps algorithms recognize the different retinas that exist in real world settings.

Major retinal algorithm development programs worldwide use our database to find new and innovative solutions for diabetic retinopathy.

Contact us to discuss how you can access and use our database.

Kaggle Competition: As computers become more adept at recognizing patterns, the California Health Care Foundation and EyePACS wondered if they could recognize signs of diabetic retinopathy. We reached out to Kaggle to host an algorithm competition in which teams used EyePACS retinal images to train algorithms to note signs of the disease.